Question 1:
Many
predictive analytic models are based on neural network technologies. What is
the role of neural networks in predictive analytics? How can neural networks
help predict the likelihood of future events. In answering these questions,
specifically reference Blue Cross Blue Shield of Tennessee.
The role of the neural
networks can act as replacement for analysts in retail, manufacturing and many other
industries use a variety of statistical methods to solve a range of problems in
forecasting, data classification and pattern recognition and produce forecasts
as accurate as or better than those available from other statistical methods.
In fact, neural networks offer many advantages, including: improved accuracy
over traditional statistical methods; a unified approach to a wide variety of
predictive analytics problems; and they requires fewer statistical assumptions
and can manage complex predictive analytics tasks in a more automated way, which
saves time for analysts and programmers
The likelihood of future events in
neural networks are assisted by the fact that they can learn to adjust to new
circumstances, lend themselves to parallel processing, function without having
all the information or having that information in a structured format, copy
with huge amounts to data with different variables, and analyze relationships
found in the data Blue Cross Blue Shield of Tennessee has a neural network
which they use to predict health resources that will be needed after certain
procedures. The patterns they find can help determine if a patient will have a
reaction to the procedure. Having this data quickly can help save health care
costs and patients.
Question 2:
What
if the
Richmond police began to add demographic data to its predictive
analytics
system to further attempt to determine the type of person (by
demographic) who
would commit a crime. Is predicting the type of person who would commit a
crime by demographic data (ethnicity, gender, income level, and
so on) good or bad?
It is not a issue of good or bad to
add demographic data to its predictive
analytics system to further attempt to determine the type of person (by
demographic) who would commit a crime by demographic data. The main
issue here is whether there is any infringement of privacy law or
whether the person who use the predictive system will use it in a proper
manner but not to abuse it.
Question
3:
In
the movie Gattaca, predictive analytics were used to determine the most
successful career for a person. Based on DNA information, the system determined
whether or not an individual was able to advance through an education track to
become something like an engineer or if a person should complete only a lower
level of education and become a janitor. The government then acted on the
system’s recommendations and placed people in various career tracks. Is this
good or bad use of technology? How is this different from the variety of
personal test you can take that informs you of your aptitude for different
career?
In
my opinion, this is a bad use of technology by acted according to the
system recommendation. This is because everyone has different potential
which yet to be displayed. We can not simply determine a future of a
person by relying on a predictive system.
The
personal test is served as a reference for someone to know about the
best suit career for them. Basically it is no much different from the
predictive system because it is also based on the data collected and
recommend a best option to a person.
Question
4: What role can geographic information system (GISs) play in the use of
predictive analytics? As you answer this question, specifically reference
FedEx’s use of predictive analytics to:
(1) Determine which customers will respond
negatively to a price increase and
(2) Project additional revenues from proposed
drop-box locations.
A
geographic information system (GIS) integrates hardware, software, and data for
capturing, managing, analyzing, and displaying all forms of geographically referenced
information. GIS allows us to view, understand, question, interpret, and
visualize data in many ways that reveal relationships, patterns, and trends in
the form of maps, globes, reports, and charts. A
GIS will helps us answer questions and solve problems by looking at our data in
a way that is quickly understood and easily shared. GIS technology can be
integrated into any enterprise information system framework.
By
using a GIS, FedEx can know whether their sales increase or drop in a
particular area. When a price increase in a particular area, the sale
will usually drop and FedEx can trace the complains from customer
regarding the price from a particular region.
When
a particular area has a high sales volume, FedEx can estimate more sale
base on GIS. FedEx may increase the production from a particular area
to generate additional revenue.
Question 5:
The department of Defense (DoD) and
the Pacific Northwest National Laboratory are combining predictive analytics
with visualization technologies to predict the probability that a terrorist
attack will occur. For example, suspected terrorists caught on security cameras
who loiter too long in a given place might signal their intent to carry out
terrorist attack. How can this type of predictive analytics be used in airport?
At what other buildings and structures might this be used?
Predictive analytics is a way of
using “Big Data” techniques to predict possible outcomes, from results of
presidential elections to the behavior of individual people. Depending on the
application, predictive analytic data often includes demographic information,
family and marital status, purchasing history, past weather patterns, business
transaction histories, social media activity, website clicks, and, of course,
telephone metadata, all of which help shape the map of an possible underlying
reality.
The same
concept can be adopted here. The data of the criminal can be share in the
airport and the data of a criminal such as which area of that particular
criminal likelihood to appear and the travel data of the criminal to be shared
in the system in the airport. When the CCTV detected the person, the security
in the airport may be alarmed to be more alert.
This method
can be used in anywhere and any building so long as the system properly
installed and operated.
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